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Methodology for Residential Building Stock Refurbishment Planning—Development of Local Building Typologies

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  • Dušan Ignjatović

    (Department of Architectural Technologies, Faculty of Architecture, University of Belgrade, 11000 Belgrade, Serbia)

  • Zeković Bojana

    (Department of Architectural Technologies, Faculty of Architecture, University of Belgrade, 11000 Belgrade, Serbia)

  • Nataša Ćuković Ignjatović

    (Department of Architectural Technologies, Faculty of Architecture, University of Belgrade, 11000 Belgrade, Serbia)

  • Ljiljana Đukanović

    (Department of Architectural Technologies, Faculty of Architecture, University of Belgrade, 11000 Belgrade, Serbia)

  • Ana Radivojević

    (Department of Architectural Technologies, Faculty of Architecture, University of Belgrade, 11000 Belgrade, Serbia)

  • Aleksandar Rajčić

    (Department of Architectural Technologies, Faculty of Architecture, University of Belgrade, 11000 Belgrade, Serbia)

Abstract

This paper presents the methodology for the implementation of building typology principles as a tool for the strategic planning of residential building stock energy retrofits on a municipal level in Serbia. Research was conducted under the IEE EPISCOPE (Intelligent Energy Europe EPISCOPE/TABULA project) project with the aim of developing an adequate tool for creating building stock energy retrofit management strategies on a local level. An approach that envisions the diversity and uneven spatial distribution of building stock in smaller scale municipalities and includes statistically relevant sampling of all relevant building types was developed and tested in the pilot project that focused on the city of Vršac. Two options for local typology development were formulated: a top-down approach, which relies on the data from the national typology or other available databases by reducing them to the local level, and a bottom-up approach, which represents a new data gathering and processing method. Both approaches were tested in the pilot project and the results are compared in this paper. From the conclusions of these analyses, a common methodology for the development of local building typologies has been defined. It can be used in the strategic planning of building stock, whether for the purpose of developing local energy action plans (LEAPs) or other purposes internationally.

Suggested Citation

  • Dušan Ignjatović & Zeković Bojana & Nataša Ćuković Ignjatović & Ljiljana Đukanović & Ana Radivojević & Aleksandar Rajčić, 2021. "Methodology for Residential Building Stock Refurbishment Planning—Development of Local Building Typologies," Sustainability, MDPI, vol. 13(8), pages 1-19, April.
  • Handle: RePEc:gam:jsusta:v:13:y:2021:i:8:p:4262-:d:534412
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    References listed on IDEAS

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    1. Sophia Rabe‐Hesketh & Anders Skrondal, 2006. "Multilevel modelling of complex survey data," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 169(4), pages 805-827, October.
    2. Ballarini, Ilaria & Corgnati, Stefano Paolo & Corrado, Vincenzo, 2014. "Use of reference buildings to assess the energy saving potentials of the residential building stock: The experience of TABULA project," Energy Policy, Elsevier, vol. 68(C), pages 273-284.
    3. Kannan, Ramachandran & Strachan, Neil, 2009. "Modelling the UK residential energy sector under long-term decarbonisation scenarios: Comparison between energy systems and sectoral modelling approaches," Applied Energy, Elsevier, vol. 86(4), pages 416-428, April.
    4. Cai, Y.P. & Huang, G.H. & Yang, Z.F. & Tan, Q., 2009. "Identification of optimal strategies for energy management systems planning under multiple uncertainties," Applied Energy, Elsevier, vol. 86(4), pages 480-495, April.
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    Cited by:

    1. Ljiljana Đukanović & Dušan Ignjatović & Nataša Ćuković Ignjatović & Aleksandar Rajčić & Nevena Lukić & Bojana Zeković, 2022. "Energy Refurbishment of Serbian School Building Stock—A Typology Tool Methodology Development," Sustainability, MDPI, vol. 14(7), pages 1-20, March.
    2. George M. Stavrakakis & Panagiotis L. Zervas & Konstantinos Terzis & Panagiotis Langouranis & Panagiota Saranti & Yorgos J. Stephanedes, 2023. "Exploitation of Mediterranean Cooperation Projects’ Tools for the Development of Public Buildings’ Energy Efficiency Plans at Local Level: A Case Study in Greece," Energies, MDPI, vol. 16(8), pages 1-33, April.

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